Is your feature request related to a problem? Please describe.
Currently, when using the Java Vertex AI SDK’s generateContent() (e.g. via ContentMaker), we only get back a raw JSON string. Client code must separately construct a JSON Schema, attach it in GenerationConfig, then manually parse the returned JSON—either via Jackson’s ObjectMapper or via Protobuf’s JsonFormat. This boilerplate is brittle, error-prone, and hides what fields the model will actually return.

Describe the solution you’d like

1. Expose the active response schema programmatically. For example:

   Schema schema = model.getResponseSchema();

   or as metadata on GenerateContentResponse.

2. Provide a one-step parser that binds the response into a POJO, Map, or Protobuf message, e.g.

   MyResult result = response.getTypedContent(MyResult.class);

   under the hood handling all JSON Schema validation and mapping.

Describe alternatives you’ve considered

• Continuing to manually wire up JSON Schema definitions + GenerationConfig.
• Writing custom helper utilities in each codebase to wrap ObjectMapper or JsonFormat.
• Using generic Map<String,Object> parsing and then casting fields at runtime.

Additional context

• Sample desired usage:

  Schema schema = model.getResponseSchema();  
  MyResponse resp = model.generateContent(prompt, config)
                         .getTypedContent(MyResponse.class);

• This would eliminate repetitive boilerplate, reduce parsing errors, and let developers discover response fields at compile time.